Brownian Dynamics Modeling

Brownian Dynamics Modeling is a computational simulation method that belongs to the class of stochastic dynamical models, specifically designed to describe the diffusive motion of ions in solution under the influence of electrostatic forces, thermal noise, and hydrodynamic interactions while neglecting inertial effects.

660

Publications

29.9K

Citations

1.4K

Authors

559

Institutions

Publications per year

2017–2026

87

Variants

Brownian Dynamics Simulation

Authors

1.4K

  1. JA
    J. Andrew McCammon

    University of California San Diego, United States

    25 publications · 1.4K citations

    21

    h-index

  2. SA
    Stuart A. Allison

    Georgia State University, United States

    15 publications · 623 citations

    14

    h-index

  3. JG
    José Garcı́a de la Torre

    Universidad de Murcia, Spain

    13 publications · 479 citations

    11

    h-index

  4. SC
    Shin‐Ho Chung

    Australian National University, Australia

    12 publications · 485 citations

    11

    h-index

  5. HL
    Hartmut Löwen

    Heinrich Heine University Düsseldorf, Germany

    11 publications · 1.1K citations

    11

    h-index

1–5 of 1.4K

Venues

  1. The Journal of Chemical Physics

    101 publications · 4.9K citations

    40

    h-index

  2. Biophysical Journal

    35 publications · 2K citations

    26

    h-index

  3. Physical Review E

    PRE · 40 publications · 1.5K citations

    24

    h-index

  4. Physical Review Letters

    PRL · 24 publications · 2.3K citations

    20

    h-index

  5. Macromolecules

    19 publications · 753 citations

    16

    h-index

1–5